Triple
T23178288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jelly Roll |
E579071
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Lil Wyte |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lil Wyte | Statement: [Jelly Roll, hasCollaboratedWith, Lil Wyte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Wyte Context triple: [Jelly Roll, hasCollaboratedWith, Lil Wyte]
-
A.
Lil Wyte
chosen
Lil Wyte is an American rapper from Memphis, Tennessee, known for his rapid-fire delivery and work with the Hypnotize Minds/Three 6 Mafia camp in the early 2000s Southern hip hop scene.
-
B.
Sheck Wes
Sheck Wes is an American rapper and songwriter best known for his breakout hit single "Mo Bamba" and his association with Kanye West’s GOOD Music label.
-
C.
Lil Yachty
Lil Yachty is an American rapper, singer, and songwriter known for his melodic, playful style and breakout hits like “One Night” and “Minnesota.”
-
D.
Lil Mosey
Lil Mosey is an American rapper and singer known for melodic trap hits like "Noticed" and "Blueberry Faygo."
-
E.
Lil' C
Lil' C is a hip-hop music producer known for his work on projects such as Big Boi's album "Sir Lucious Left Foot: The Son of Chico Dusty."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6cbe5481909444479b7eac47f7 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.